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Senior Enterprise Architect
il y a 3 heures
А global digital transformation company with a team of more than 4,900 global players in 26 countries – in Europe, America and Asia, working together to put organizations at the forefront of innovation by bringing together talent, knowledge and technology.Our approach is based on conscious technology, through which we create positive environments and meaningful opportunities, always in our own way, making the complex simple.VASS BeNeLux, in partnership with the European Commission, is currently seeking a Senior Enterprise Architect , near-site in Brussels.The role:Design and specify enterprise-grade analytical components supporting CBAM risk management workflows;Translate CBAM policy requirements into risk scoring logic, profiling models, and alert frameworks;Define and document modelling pipelines for ingestion, transformation, risk calculation, and result delivery;Support the implementation of statistical and machine learning models for emission anomaly detection and behavioural risk scoring;Ensure the integration of modelling artefacts into production pipelines, dashboards, and operational interfaces;Promote auditability, reproducibility, and interpretability of risk analytics systems;Liaise with stakeholders from policy units, architecture, and infrastructure teams to align analyticswith business and operational needs;Ensure alignment with corporate architecture and data governance.Knowledge and skills:Excellent knowledge of machine learning techniques and statistical modelling, including classification, clustering, and time-to-event analysis;Proven experience in developing reproducible analytics using Python and R, and related frameworks;Experience applying quantitative methods to real-world problems in policy-driven or regulated domains;Knowledge of risk scoring, anomaly detection, and bias mitigation techniques;Familiarity with modern data science environments such as RStudio, Anaconda, and version-controlled development;Strong understanding of model governance principles: auditability, interpretability, reproducibility;Capacity to communicate technical results to non-technical stakeholders;Autonomy in delivering model-based analytics aligned with architectural and business needs.;Must have requirements:Minimum 6 years of hands-on experience in designing and applying advanced data science models in a professional context;Proven track record in developing statistical and machine learning models, including real-life applications such as fraud detection, emissions modelling, survival analysis, or risk classification;Experience contributing to the end-to-end lifecycle of model development — from data ingestion to deployment, validation, and integration;Familiarity with CBAM-relevant domains such as emissions monitoring, compliance modelling, or trade-based risk profiling is a strong asset;Demonstrated ability to contribute to structured analytical architecture within a cross-disciplinary team;Background in academic or applied research is considered an added value, in fields related to policy modelling or public sector analytics.If you want to join our team, send your application (EU Citizenship is required)
